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Cyprus Achieves 23.2% Reduction In Energy Intensity As EU Economies Decouple Growth And Consumption

Overview

Cyprus has recorded a remarkable 23.2% decrease in net domestic energy use intensity over the past decade, signaling a decisive move toward improved energy efficiency. Eurostat reports that the overall EU economy utilized 56.1 million terajoules of energy in 2023, a 4.1% decline from the previous year, as countries continue efforts to decouple economic growth from energy consumption.

Sector Analysis

Within the EU’s energy landscape, public and private sector activities accounted for 72.3% of total energy use, while households consumed the remaining 27.7%. The manufacturing sector emerged as the largest individual consumer at 14.3 million terajoules, representing 25.5% of overall usage. Meanwhile, sectors related to the supply of electricity, gas, steam, and air conditioning recorded an 8.7% reduction between 2022 and 2023, while manufacturing registered a 5.5% decline. In contrast, the transportation and storage sector posted an 8.1% increase, reflecting shifting demand patterns.

Comparative Performance And Regional Trends

Cyprus’ performance stands out among regional peers. Greece, for example, registered a 19.6% reduction in energy intensity over the same period. Broader EU trends show mixed progress: Estonia and Ireland recorded the fastest declines in energy consumption, while Malta and Lithuania experienced increases. These differences highlight the importance of targeted policies and infrastructure investment in driving efficiency gains.

Conclusion

The sustained drop in energy intensity demonstrates that economies can increase output without proportional rises in energy consumption. This trend supports a broader EU objective of aligning economic growth with sustainable energy practices. Cyprus’ performance sets a strong benchmark for both businesses and policymakers, illustrating the productivity gains that can be achieved through effective energy management.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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